The AI infrastructure buildout is one of the largest capital mobilizations in technology history. Governments are funding national AI factories. NVIDIA Cloud Partners (NCPs) providers are deploying tens of thousands of GPUs to compete with hyperscalers. Enterprises are standing up private AI infrastructure at a pace that would have been unimaginable three years ago.
And yet, for most of these organizations, the GPUs are sitting underutilized.
Not because of a hardware problem. Because of an orchestration problem.
The Gap Between Infrastructure and Output
Buying GPUs is the easy part. Turning them into a productive, revenue-generating AI platform is something else entirely. Without a unified control plane, what you actually have is a collection of expensive hardware that requires a team of platform engineers to provision manually, a fragmented set of tools that don’t talk to each other, and data scientists and developers filing tickets to access resources they’re supposed to be using every day.
The result: delayed projects, underutilized infrastructure, and an AI investment that isn’t returning what the board was promised.
This isn’t a niche problem. It’s the defining operational challenge of the AI era—and it’s exactly what DDN Horizon is built to solve.
Operationalizing AI at Scale
Today, DDN is introducing DDN Horizon — a full-stack AI orchestration control plane that transforms GPU and data infrastructure into a secure, multi-tenant, revenue-ready AI platform.
Horizon is built for the organizations at the forefront of AI deployment: NVIDIA Cloud Providers who need to compete with hyperscalers on experience, not just price; sovereign AI initiatives that require data sovereignty without sacrificing operational sophistication; and enterprises building private AI clouds that need to serve hundreds of developers and data scientists without a corresponding explosion in platform engineering headcount.
The core insight behind Horizon is straightforward: the value of GPU infrastructure is not the hardware — it’s the economic output the hardware generates. And generating that output requires a control plane that can operationalize it. This control plane sits at the center of the DDN Data Intelligence Platform.
Inside the DDN Data Intelligence Platform
DDN is the Data Intelligence Platform powering breakthroughs in the AI revolution. At the center of the platform is DDN Horizon, our new AI control plane that orchestrates the full AI lifecycle—from data ingestion and training to inference and deployment.
Through Horizon, organizations can provision a catalog of AI services delivered as-a-service, including GPU, storage, vector database, training, and inference capabilities across on-prem, hybrid, and cloud environments. These services run on the high-performance foundation of Infinia and EXAScaler, transforming infrastructure into scalable AI production systems.
On top of this platform, DDN delivers industry solutions that translate AI infrastructure into measurable business outcomes—from intraday financial risk analytics to accelerated drug discovery and large-scale semantic video search.
What Horizon Delivers
DDN Horizon enables providers and enterprises to move beyond basic GPU rental and deliver full AI-as-a-Service — a self-service experience that puts compute, storage, inference endpoints, notebooks, and ML pipelines directly in the hands of the people who need them.
For NCPs, this means launching a revenue-ready AI cloud in weeks, not quarters — with multi-tenancy, usage tracking, chargeback, and billing built in from day one. The operational foundation that would otherwise take 6–18 months and a dedicated engineering team to build is available immediately, allowing NCPs to compete on service quality rather than infrastructure complexity.
For sovereign AI initiatives, Horizon provides the operational layer to build nationally controlled AI clouds that are secure, compliant, and ecosystem-ready — keeping data, models, and work products within national borders while accelerating AI adoption across banking, telecom, public sector, and research.
For enterprises, Horizon replaces fragmented internal infrastructure with a unified private AI cloud: centralized governance, tenant isolation, transparent cost allocation, and self-service access for developers and data scientists — without removing control from the platform team.
The Orchestration Multiplier
As DDN CEO Alex Bouzari put it at today’s announcement: “The next phase of AI isn’t about buying more GPUs — it’s about operationalizing them. Trillions in AI infrastructure investment must translate into real economic output, and that requires a unified control plane.”
That framing matters for every stakeholder in the AI ecosystem. For cloud providers, orchestration is the margin improvement, reducing platform engineering costs while enabling premium service tiers. For governments, it’s the mechanism that turns a national infrastructure investment into a functioning AI economy. For enterprises, it’s the multiplier that turns GPU capex into measurable developer productivity and faster time to production.
DDN Horizon will be showcased at NVIDIA GTC 2026. To schedule a private demo or meet with DDN executives, visit booth #1621.